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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A computational approach for the discovery of significant cancer genes by weighted mutation and asymmetric spreading strength in networks

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Author(s):
Cutigi, Jorge Francisco [1, 2] ; Evangelista, Adriane Feijo [3] ; Reis, Rui Manuel [3] ; Simao, Adenilso [1]
Total Authors: 4
Affiliation:
[1] Univ Sao Paulo, Sao Carlos, SP - Brazil
[2] Fed Inst Sao Paulo, Sao Carlos, SP - Brazil
[3] Barretos Canc Hosp, Mol Oncol Res Ctr, Barretos, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: SCIENTIFIC REPORTS; v. 11, n. 1 DEC 7 2021.
Web of Science Citations: 0
Abstract

Identifying significantly mutated genes in cancer is essential for understanding the mechanisms of tumor initiation and progression. This task is a key challenge since large-scale genomic studies have reported an endless number of genes mutated at a shallow frequency. Towards uncovering infrequently mutated genes, gene interaction networks combined with mutation data have been explored. This work proposes Discovering Significant Cancer Genes (DiSCaGe), a computational method for discovering significant genes for cancer. DiSCaGe computes a mutation score for the genes based on the type of mutations they have. The influence received for their neighbors in the network is also considered and obtained through an asymmetric spreading strength applied to a consensus gene network. DiSCaGe produces a ranking of prioritized possible cancer genes. An experimental evaluation with six types of cancer revealed the potential of DiSCaGe for discovering known and possible novel significant cancer genes. (AU)

FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
Grantee:Francisco Louzada Neto
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC